Keiichi Kuroyanagi Keiku

## command.sh
# compress/decompress zip file.
zip file.csv.zip file.csv
unzip file.csv.zip

# compress/decompress gz file.
gzip file.csv
gzip -d file.csv.gz

# compress/decompress bz2 file.
bzip2 file.csv

## convert_number_strings_to_numbers.py
import pandas as pd
import locale
from locale import atof

df = pd.DataFrame([['1,200', '4,200'], ['7,000', '-0.03'], ['5', '0']],
                  columns=['col1', 'col2'])
#     col1   col2
# 0  1,200  4,200
# 1  7,000  -0.03
# 2      5      0

## roc_auc.py
import matplotlib.pyplot as plt
from sklearn.metrics import roc_curve, auc

import seaborn as sns
sns.set('talk', 'whitegrid', 'dark', font_scale=1.5, font='Ricty',
        rc={"lines.linewidth": 2, 'grid.linestyle': '--'})

fpr, tpr, _ = roc_curve([1, 0, 1, 0, 1, 0, 0], [0.9, 0.8, 0.7, 0.7, 0.6, 0.5, 0.4])
roc_auc = auc(fpr, tpr)

## pip_install_unreleased_main_repository.sh
# pip install the unreleased main repository
git clone https://github.com/pypa/pipenv.git
python setup.py develop --user

# or below command
pip install git+https://github.com/pypa/pipenv.git --user

# add PATH for fish shell
set -U fish_user_paths /home/anasys/.local/bin $fish_user_paths

## use_cuda11.3_on_ubuntu16.04_cuda10.2.md

      
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                Keiku
                / use_cuda11.3_on_ubuntu16.04_cuda10.2.md
            
            
              Created
              March 28, 2022 07:42
            
              
                Use CUDA 11.3 in Ubuntu 16.04 and CUDA 10.2 environment
              
          
    ⋊> ~/c/docker-compose cat docker-compose.yaml                                                                                                                      16:33:48
services:
  test:
    image: nvidia/cuda:11.3.1-cudnn8-devel-ubuntu20.04
    command: nvidia-smi
    environment:
     - NVIDIA_DISABLE_REQUIRE=1
    deploy:
      resources:

  
## update_pipfile.sh
# delete pillow package
emacs Pipfile
# delete below package
# [packages]
# pillow
pipenv clean

# install pillow package
emacs Pipfile
# add below package

## update_mirror_repository.sh
# I refer to "git --How do I update my bare repo? --Stack Overflow https://stackoverflow.com/questions/3382679/how-do-i-update-my-bare-repo"

# Create mirror repository
git clone --bare https://github.com/Keiku/test1.git
cd test1.git
git push --mirror https://github.com/Keiku/test2.git

# Promote development with mirror repository
cd ../
git clone https://github.com/Keiku/test2.git

## get_indices_in_conditions_from_2d_array.py
import numpy as np

# sample array
array = np.array([[1, 1, 1, 0, 0, 0],
                 [1, 1, 1, 0, 0, 0]])
# get row index and col index
rows, cols = np.where(array == 1)
# Convert row index and column index to 2d array
np.transpose((rows, cols))
# array([[0, 0],

## get_filename_including_parent_dir.py
import pathlib
path = pathlib.Path('home/path/to/file.txt')
root = path.parent.parent
# PosixPath('home/path')
path.relative_to(root)
# PosixPath('to/file.txt')

## insightface_demo.py
# Reference: 1. Getting Started with Pre-trained Model from RetinaFace — insightface 0.1.5 documentation http://insightface.ai/build/examples_face_detection/demo_retinaface.html
# How to install insightface
# pip install insightface
# pip install mxnet-cu100

import insightface
import urllib
import urllib.request
import cv2
import numpy as np
	# compress/decompress zip file.
	zip file.csv.zip file.csv
	unzip file.csv.zip

	# compress/decompress gz file.
	gzip file.csv
	gzip -d file.csv.gz

	# compress/decompress bz2 file.
	bzip2 file.csv
	import pandas as pd
	import locale
	from locale import atof

	df = pd.DataFrame([['1,200', '4,200'], ['7,000', '-0.03'], ['5', '0']],
	columns=['col1', 'col2'])
	# col1 col2
	# 0 1,200 4,200
	# 1 7,000 -0.03
	# 2 5 0
	import matplotlib.pyplot as plt
	from sklearn.metrics import roc_curve, auc

	import seaborn as sns
	sns.set('talk', 'whitegrid', 'dark', font_scale=1.5, font='Ricty',
	rc={"lines.linewidth": 2, 'grid.linestyle': '--'})

	fpr, tpr, _ = roc_curve([1, 0, 1, 0, 1, 0, 0], [0.9, 0.8, 0.7, 0.7, 0.6, 0.5, 0.4])
	roc_auc = auc(fpr, tpr)
	# pip install the unreleased main repository
	git clone https://github.com/pypa/pipenv.git
	python setup.py develop --user

	# or below command
	pip install git+https://github.com/pypa/pipenv.git --user

	# add PATH for fish shell
	set -U fish_user_paths /home/anasys/.local/bin $fish_user_paths
	# delete pillow package
	emacs Pipfile
	# delete below package
	# [packages]
	# pillow
	pipenv clean

	# install pillow package
	emacs Pipfile
	# add below package
	# I refer to "git --How do I update my bare repo? --Stack Overflow https://stackoverflow.com/questions/3382679/how-do-i-update-my-bare-repo"

	# Create mirror repository
	git clone --bare https://github.com/Keiku/test1.git
	cd test1.git
	git push --mirror https://github.com/Keiku/test2.git

	# Promote development with mirror repository
	cd ../
	git clone https://github.com/Keiku/test2.git
	import numpy as np

	# sample array
	array = np.array([[1, 1, 1, 0, 0, 0],
	[1, 1, 1, 0, 0, 0]])
	# get row index and col index
	rows, cols = np.where(array == 1)
	# Convert row index and column index to 2d array
	np.transpose((rows, cols))
	# array([[0, 0],
	import pathlib
	path = pathlib.Path('home/path/to/file.txt')
	root = path.parent.parent
	# PosixPath('home/path')
	path.relative_to(root)
	# PosixPath('to/file.txt')
	# Reference: 1. Getting Started with Pre-trained Model from RetinaFace — insightface 0.1.5 documentation http://insightface.ai/build/examples_face_detection/demo_retinaface.html
	# How to install insightface
	# pip install insightface
	# pip install mxnet-cu100

	import insightface
	import urllib
	import urllib.request
	import cv2
	import numpy as np